1 день назад
Staff Platform Engineer (AI/ML)
103 000 - 143 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Platform Engineer (AI/ML): Defining platform strategy and operating scalable Kubernetes, cloud, and infrastructure-as-code systems for production AI/ML environments with an accent on DevSecOps, reliability, security, and multi-region architecture. Focus on designing model-serving and GPU orchestration platforms, building LLM gateway and vector-store infrastructure, leading cloud modernization, and mentoring engineers.
Location: Remote, based in Canada
Salary: CAD 103,000–143,000 per year
Company
Robots & Pencils is an applied AI engineering firm building AI co-workers and integrating them into enterprise operations across multiple industries.
What you will do
- Define DevOps strategy and lead infrastructure architecture across multi-environment and multi-region cloud systems.
- Architect and operate scalable Kubernetes platforms, containerized infrastructure, and infrastructure-as-code standards.
- Implement DevSecOps practices covering secrets management, compliance, auditing, IAM, and zero-trust networking.
- Own platform reliability, performance SLAs, cost optimization, observability, and production reliability practices.
- Lead cloud migrations and platform modernization initiatives.
- Design and operate AI/ML platform infrastructure, including model serving, GPU workload orchestration, LLM gateways, vector stores, and CI/CD for AI/ML systems.
Requirements
- Must be based in Canada for this remote role.
- 7+ years of professional DevOps or platform engineering experience, including leadership of complex platform initiatives.
- Expert programming or scripting skills with tools such as Python, Go, Java, or Bash.
- Deep expertise in at least one major cloud platform, Kubernetes, container orchestration, infrastructure as code, and CI/CD architecture.
- Experience with DevSecOps, networking, IAM, security architecture, zero-trust principles, service mesh, distributed systems, and microservices.
- Strong AI/ML platform infrastructure, technical leadership, mentoring, stakeholder communication, and AI-forward tool usage, including Claude and Cursor.
Nice to have
- Cloud certifications such as AWS DevOps Engineer Professional, CKA, or Azure DevOps Engineer.
- FinOps experience.
Culture & Benefits
- Work with senior, cross-functional teams averaging 15+ years of experience.
- Collaborate directly with engineering, product, leadership, and enterprise clients.
- Benefits include paid time off and medical, dental, and vision insurance.
- Eligible employees may receive 401(k) benefits.
- Work emphasizes ownership, direct feedback, craftsmanship, continuous learning, and practical delivery.
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